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Location advantages, governance quality, stock market development and firm characteristics as antecedents of African M&As.

Location advantages, governance quality, stock market development and firm characteristics as antecedents of African M&As.
Location advantages, governance quality, stock market development and firm characteristics as antecedents of African M&As.
This study explores firm- and country-specific antecedents of African M&As. We use one of the largest datasets to-date consisting of 1,490 unique African firms (11,183 firm-year observations) from 1996 to 2012. Our results suggest that improvements in time-varying country-level factors, including location advantages (market size, human capital and efficiency opportunities), national governance quality, and stock market development are associated with an increase in the volume of M&A activity. Consistent with the resource-curse paradox, high resource endowments are not associated with increased levels of M&A. In support of the management inefficiency but contrary to the traditional firm size hypotheses, African targets are generally characterised by declining stock returns and accounting profitability but are more likely to be larger firms; suggesting the presence of information asymmetry concerns in their selection. Notwithstanding, we find evidence of heterogeneity across countries with inconsistent support for established target prediction hypotheses. A model which combines firm- and country- specific factors better explains observed variations in African M&A activity.
national governance quality, location advantages, stock market development, firm characteristics, mergers and acquisitions, africa
1075-4253
147-167
Tunyi, Abongeh A.
5b8bebf9-5060-4f17-8cee-14ce3a93b458
Ntim, Collins
1f344edc-8005-4e96-8972-d56c4dade46b
Tunyi, Abongeh A.
5b8bebf9-5060-4f17-8cee-14ce3a93b458
Ntim, Collins
1f344edc-8005-4e96-8972-d56c4dade46b

Tunyi, Abongeh A. and Ntim, Collins (2016) Location advantages, governance quality, stock market development and firm characteristics as antecedents of African M&As. Journal of International Management, 22 (2), 147-167. (doi:10.1016/j.intman.2016.01.005).

Record type: Article

Abstract

This study explores firm- and country-specific antecedents of African M&As. We use one of the largest datasets to-date consisting of 1,490 unique African firms (11,183 firm-year observations) from 1996 to 2012. Our results suggest that improvements in time-varying country-level factors, including location advantages (market size, human capital and efficiency opportunities), national governance quality, and stock market development are associated with an increase in the volume of M&A activity. Consistent with the resource-curse paradox, high resource endowments are not associated with increased levels of M&A. In support of the management inefficiency but contrary to the traditional firm size hypotheses, African targets are generally characterised by declining stock returns and accounting profitability but are more likely to be larger firms; suggesting the presence of information asymmetry concerns in their selection. Notwithstanding, we find evidence of heterogeneity across countries with inconsistent support for established target prediction hypotheses. A model which combines firm- and country- specific factors better explains observed variations in African M&A activity.

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More information

Accepted/In Press date: 29 January 2016
e-pub ahead of print date: 25 March 2016
Published date: June 2016
Keywords: national governance quality, location advantages, stock market development, firm characteristics, mergers and acquisitions, africa
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 400973
URI: http://eprints.soton.ac.uk/id/eprint/400973
ISSN: 1075-4253
PURE UUID: 0276acd6-57df-47da-883e-00c21f4428b6
ORCID for Collins Ntim: ORCID iD orcid.org/0000-0002-1042-4056

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Date deposited: 03 Oct 2016 08:40
Last modified: 16 Mar 2024 02:27

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Contributors

Author: Abongeh A. Tunyi
Author: Collins Ntim ORCID iD

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